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Practical Guide to Applied Conformal Prediction in Python

You're reading from  Practical Guide to Applied Conformal Prediction in Python

Product type Book
Published in Dec 2023
Publisher Packt
ISBN-13 9781805122760
Pages 240 pages
Edition 1st Edition
Languages
Author (1):
Valery Manokhin Valery Manokhin
Profile icon Valery Manokhin

Table of Contents (19) Chapters

Preface 1. Part 1: Introduction
2. Chapter 1: Introducing Conformal Prediction 3. Chapter 2: Overview of Conformal Prediction 4. Part 2: Conformal Prediction Framework
5. Chapter 3: Fundamentals of Conformal Prediction 6. Chapter 4: Validity and Efficiency of Conformal Prediction 7. Chapter 5: Types of Conformal Predictors 8. Part 3: Applications of Conformal Prediction
9. Chapter 6: Conformal Prediction for Classification 10. Chapter 7: Conformal Prediction for Regression 11. Chapter 8: Conformal Prediction for Time Series and Forecasting 12. Chapter 9: Conformal Prediction for Computer Vision 13. Chapter 10: Conformal Prediction for Natural Language Processing 14. Part 4: Advanced Topics
15. Chapter 11: Handling Imbalanced Data 16. Chapter 12: Multi-Class Conformal Prediction 17. Index 18. Other Books You May Enjoy

Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: First, we must create ICP classifiers by using a wrapper from nonconformist

A block of code is set as follows:

y_pred_calib = model.predict(X_calib)
y_pred_score_calib = model.predict_proba(X_calib)
y_pred_test = model.predict(X_test)
y_pred_score_test = model.predict_proba(X_test)

Tips or important notes

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